Research On Reputation Reporting Strategy Based On Fuzzy Logic

Reputation is the best means to avoid risks. It can force suppliers offer best products and services, and can also avoid the cheat of consumers. Reputation can maintain trust business relationship between them effectively. Reputation system is the necessary component of digital social. So the research of reputation system is of great importance.Currently, reputation system based on the assumption that the probability distribution of certain events and to express the probability metric the relation of trust, and mostly using the method of simple arithmetic average overall trust in a variety of recommended trails. It is unable to successfully resolve the impact of malicious recommendation. Because trust itself has objective and fuzzy, and we can't descript and validate it exactly, we propose a reputation evaluation system based on fuzzy logic, give a reputation evaluation algorithm. The algorithm not only reflects the fuzzy of trust but also a visual and simple quantification description mechanism. It can apply in e-commerces and e-government.The dominating technology of network security is based on cryptogram, such as digital identity certification. What the identity certification lacks is the reputation of certification holder. There are nothing information about the history of the holder, and the reputation system does have. And the common goal of reputation system and identity certificate is enhancing network security, reducing risks and promoting the development of e-commerce. So the idea of combing the identity certification with reputation system is presented. The content of reputation is written in the attribute-item of attribute certification. The reputation attribute certificate is correlated with identity certification by the binding information. So, CA is not only the administrator of identity certifications, but the reputation also can be reviewed through CA. Finally, we discuss the application in e-commerce.